As deep learning libraries such as TensorFlow, Keras, and PyTorch are popular, it has become easy for non-experts to develop machine learning models and their applications.
In addition, transfer learning is also helpful to develop a high-accuracy model with a small amount of data from a pre-trained model with public data such as ImageNet [1]}.
Due to public data such as MNIST and Tensorflow Datasets, and public models such as ResNet and Inception, machine learning service developers can easily make their applications.
However, it is difficult for each developer or institution to build their training models for their customized service from scratch.
